Avoid being the Turkey: How big data analytics changes the game of strategy in times of ambiguity and uncertainty

Rijmenam, Mark van; Erekhinskaya, Tatiana; Schweitzer, Jochen; Williams, Mary-Anne

doi:10.1016/j.lrp.2018.05.007

Cited by 54 publications

(44 citation statements)

References 183 publications

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“…Fiorentino et al, 2020). Among smart technologies (Lu and Weng, 2018), prior studies have emphasized the growing role of big data analytics as a cornerstone of firm performance and competitive success (Ferraris et al, 2018;Wamba, 2017;George et al, 2014) and argued that a firm's capacity to leverage them can be a powerful dynamic capability (Giudici and Reinmoeller, 2012;Teece, 2018;van Rijmenam et al, 2018). Big data analytics are important because they enhance a firm's ability to connect technology and customers/users (Brown et al, 2011;Dobusch and Kapeller, 2018), thus enabling the aggregation of a large amount of data about technology development (Papadopoulos et al, 2017) and predicted customer demand (Bresciani et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Big data analytics in innovation processes: which forms of dynamic capabilities should be developed and how to embrace digitization?

Capurro

Fiorentino

Garzella

et al. 2021

EJIM

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PurposeThe purpose of this paper is to analyze, from a dynamic capabilities perspective, the role of big data analytics in supporting firms' innovation processes.Design/methodology/approachRelevant literature is reviewed and critically assessed. An interpretive methodology is used to analyze empirical data from interviews of big data analytics experts at firms within digitally related sectors.FindingsThis study shows how firms leverage big data to gain “richer” and “deeper” data at the inter-sections between the digital and physical worlds. The authors provide evidence for the importance of counterintuitive strategies aimed at developing innovative products, services or solutions with characteristics that may initially diverge, even significantly, from established customer/user needs.Practical implicationsThe authors’ findings offer insights to help practitioners manage innovation processes in the physical world while taking investments in big data analytics into account.Originality/valueThe authors provide insights into the evolution of scholarly research on innovation directed toward opportunities to create a competitive advantage by offering new products, services or solutions diverging, even significantly, from established customer demand.

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Section: Introductionmentioning

confidence: 99%

Big data analytics in innovation processes: which forms of dynamic capabilities should be developed and how to embrace digitization?

Capurro

Fiorentino

Garzella

et al. 2021

EJIM

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“…Researchers in strategic management have developed the BDC scale ( Cecez-Kecmanovic et al, 2014 ; Akter et al, 2016 ; Wamba et al, 2017 ), which lays a foundation for empirical research from the resource-based view and dynamic capability view ( Ayabakan et al, 2017 ; Nan et al, 2018 ). In this paper, it is considered that BDC is the dynamic capability of enterprises to filtrate, integrate, reconstruct, and utilise massive internal and external data resources and transform them into unique advantages to support enterprises’ strategic transformation and operation decisions in the changing environment ( Rijmenam et al, 2018 ). BDC is a distinct and pivotal resource in the digital economy and a dynamic capability for practice.…”

Section: Theoretical Background and Research Modelmentioning

confidence: 99%

Financial Performance Under the Influence of the Coronavirus Disease 2019: Effects of Strategic Flexibility and Environmental Dynamics in Big Data Capability

et al. 2021

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This study draws on the dynamic capabilities view and the firm’s big data capability (BDC) in the new economic environment. It constructs an adjusted intermediary model to study the mechanism of BDC, strategic flexibility, and environmental dynamic affecting financial performance. We find that strategic flexibility plays an intermediary role in the “Converse-U” relationship between BDC and financial performance. Environmental dynamics adjust the relationship between BDC and financial performance positively and smooth the “Converse-U” relationship. The findings suggest building and managing BDC, combining BDC with the management process, and achieving continuous financial performance improvement in a dynamic environment. The paper also puts forward the nonlinear hypothesis, discusses the “Converse-U” relationship between BDC and enterprise financial performance in the Chinese context of digital economy explosion and growth, and considers the intermediary mechanism of strategic flexibility and the regulatory effect of environmental dynamics.

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“…A bibliometric analysis would provide a snapshot of the literature and performing the analysis would be the starting point to develop a research agenda to drive future research. 2014;Jebari, 2015;Jore et al, 2018;Lakshmi, 2018;Lee and Su, 2010;Lindaas and Pettersen, 2016;Loizzo et al, 2015;de Loo and Davis, 2003;Luria et al, 2017;Makridakis and Taleb, 2009;Maslen and Hayes, 2016;Mefford et al, 2017;Millett, 2010;Mueller and Stewart, 2016;Nafday, 2009;Ndubisi et al, 2016;Oh and Lee, 2017;Olivares-Aguila and ElMaraghy, 2020;de Palma et al, 2014;Payzan-LeNestour, 2018;Perera et al, 2018;Pilkington and Meredith, 2009;Reut et al, 2019;van Rijmenam et al, 2019;Schurr et al, 2014;Sengar et al, 2017;Sniedovich, 2012;Taleb and Dearlove, 2009;Vetter and Vetter, 2019;Wardman and Mythen, 2016;Wells et al, 2017;Werther, 2013;Zafft, 2012;Zaman et al, 2019) falling under the timespan from 1997 to 2020 (articles published till 30 April 2020). The full record of the articles bibliographical information was downloaded in BibTex format for further use in analysis using R package and VOSviewer.…”

Section: Overview Of Research On Black Swan Eventsmentioning

confidence: 99%

Black swan: bibliometric analysis and development of research agenda

Parameswar

Chaubey

Dhir

2021

BIJ

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PurposeThere has been an increasing interest amongst the researchers to work and explore, “Black Swan” events which are not well studied. However, the “Black Swan” events hold an eminent relevance amongst academicians and practitioners. The present study offers nuanced understanding of “Black Swan” events.Design/methodology/approachWe undertook an extensive bibliometric analysis of the extant literature using “Black Swan” as guiding keyword with the help of SCOPUS database.FindingsThe search for articles only yielded 59 articles. Our analyses highlight the prominent works, authors and journals. Further, this study reveal the research gaps that may help guide future scholars interested in “Black Swan” events to examine in different context.Research limitations/implicationsThe current study develops a research agenda and offers numerous research directions. Research on “Black Swan” events can be apprehended at three different stages – pre-black swan event, about black swan event and post-black swan event with identified sub-themes.Originality/valueThis paper is the pioneer research work to dedicatedly analyse the existing set of literature with “Black Swan”.

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Avoid being the Turkey: How big data analytics changes the game of strategy in times of ambiguity and uncertainty

Cited by 54 publications

References 183 publications

Big data analytics in innovation processes: which forms of dynamic capabilities should be developed and how to embrace digitization?

Big data analytics in innovation processes: which forms of dynamic capabilities should be developed and how to embrace digitization?

Financial Performance Under the Influence of the Coronavirus Disease 2019: Effects of Strategic Flexibility and Environmental Dynamics in Big Data Capability

Black swan: bibliometric analysis and development of research agenda

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